The goal of this project is to develop advanced mathematical algorithms integrated with the probe design technique to improve the SNR of an NMR measurement. The proposed methods are summarized as: 1) Apply Compressed sensing (CS) technique associated with the optimized recovery method to the current obtained NMR signals. 2) Time-averaging technique can also be […]

Type II diabetes affects around 9% of the North-American population. While it may be reversed by a change of life style and diet, it can cause irrepairable damage if left untreated. Tests that involve taking multiple blood samples are usually administered to find out if a subject has, or is at risk of developing, type […]

Birds and insects who are active at dusk and dawn rely on environmental cues, such as light, to forage. Whip-poor-will are one such bird, and they rely on flying insects that are active during the same periods for food. Which insects, however, is not well understood but is important to know for conservation efforts focused […]

In this self-contained project we will investigate how machine learning can be applied to help provide personalized financial advice. Machine learning is a term that designates types of artificial intelligence that rely on learning behaviors from data or experience. Specifically, the goal of this work is to apply machine learning to Servus Credit Union’s Noble […]

This project proposes for Ontario a transformative approach for identification and surveillance of COVID-19 and prediction of COVID-19 outbreaks based on wastewater-based community-testing epidemiology. WE will identify and measure SARS-CoV-2 RNA and molecular biomarkers of health excreted by populations and use modelling to predict the special-temporal occurrence of emerging outbreaks in sewage wastewaters. Our team […]

Strategies to promote immune defences against COVID-19 infection are urgently needed. The gastrointestinal tract is a potentially important route for COVID-19 infection and for generating protective anti-viral immunity against this pathogen. Certain features of COVID-19 contribute to its ability to evade and subvert our immune defences. Type I interferon is a key immune protein that […]

In light of the recent outbreak of Covid-19, it is urgent to find a solution for quick and efficient pathogen detection and elimination. Rapid point-of-need diagnostic tests and monitoring devices are urgently required in order to provide testing and care to those infected. Currently, testing is performed at centralized facilities using specialized equipment for molecular-based […]

Machine learning has been applied in various fields and shown promising results in recent years. Researchers have found that tuning machine learning models in a proper way can vastly boost the model performance with respect to the specific AI task. However, tuning machine learning models at scale, especially finding the right hyperparameter values, can be […]

The recent outbreak of the SARS-CoV-2 associated coronavirus disease, COVID-19, had been declared a global pandemic by the World Health Organization. There is still only a minimal understanding of the virus and an absence of effective targeted therapy for its treatment. Epigenetic regulations in cells control the expression of genes without modifications to the genetic […]

Data science is an interdisciplinary field that combines statistics, computer science, and domain knowledge. The rise of data science has fundamentally changed how people solve problems in all kinds of industries. To fill the talent gap, SFU professional master’s program (PMP) was launched in 2014. In this Mitacs cluster project, SFU PMP will collaborate with […]

As smart home and artificial intelligence technologies are developing rapidly, smart home devices contribute to better living quality and safer spaces. These smart devices are intelligent agents. They receive a variety of signals through sensors placed in ecobee’s thermostats, light switches and other smart devices and controls the heating and cooling, lighting, as well as […]

The Canadian federal government committed to encouraging low carbon alternatives and the growth of clean technology that reduces greenhouse gas (GHG) emissions. It is stated that the new target is to reduce GHG emissions by 80% by 2050, relative to 2005 GHG levels. In order to achieve this goal, one of the government’s strategic plan […]